Associate Risk Analytics Consultant

Harnham; Slough; Sur place; GBP 68 000 - 83 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Career development

Résumé du poste

Harnham in London is seeking an Associate Analytics Consultant to deliver consultancy projects for some of the UK's largest lenders and financial services organisations. You will build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency data to help decisions.

This is a highly commercial, client-facing role where you'll own analytics projects from discovery to delivery, presenting insights to senior stakeholders while balancing technical

Qualifications

• Experience developing credit scorecards in a credit risk environment.
• Strong knowledge of CRA data (Equifax, Experian or TransUnion).
• Credit risk experience across model development or strategy.
• Proficient in SQL and Python (or SAS).
• Experience with statistical modelling techniques such as logistic regression or machine learning.
• Excellent communication skills with the ability to present to clients and senior stakeholders.

Responsabilités

• Developing acquisition and behavioural credit scorecards using CRA data.
• Building statistical and machine learning models including logistic and linear regression.
• Designing and implementing credit strategies for new and existing customer portfolios.
• Analysing large datasets using SQL and Python (or SAS).
• Delivering analytical consultancy projects for external clients across multiple industries.
• Presenting technical findings and commercial recommendations to senior stakeholders.
• Supporting clients to improve lending decisions through data-driven insights.

Connaissances

Credit scorecards

CRA data

Credit risk modelling

SQL

Python or SAS

Communication skills

Outils

Python

SAS

Description du poste

Associate Analytics Consultant

London (Hybrid – Monday to Thursday Office / Friday Remote)

Up to £75,000

THE COMPANY

This global data, analytics and technology business helps organisations make smarter lending decisions through market-leading credit data, analytics and consultancy. Working with banks, lenders, telecoms and other major organisations, they develop analytical solutions that improve customer acquisition, credit decisions and portfolio performance. Having recently migrated to the cloud and invested heavily in Python, it's an exciting time to join a business known for its strong culture and excellent staff retention.

THE ROLE

As an Associate Consultant within the Client Analytics team, you'll deliver consultancy projects for some of the UK's largest lenders and financial services organisations. Working directly with clients, you'll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions.

This is a highly commercial, client-facing position where you'll own analytical projects from discovery through to delivery, presenting insights and recommendations to senior stakeholders while balancing technical excellence with commercial impact.

You'll be responsible for:

• Developing acquisition and behavioural credit scorecards using CRA data
• Building statistical and machine learning models including logistic and linear regression
• Designing and implementing credit strategies for new and existing customer portfolios
• Analysing large datasets using SQL and Python (or SAS)
• Delivering analytical consultancy projects for external clients across multiple industries
• Presenting technical findings and commercial recommendations to senior stakeholders
• Supporting clients to improve lending decisions through data-driven insights

The role covers the full modelling lifecycle, including sample design, performance analysis, reject analysis and strategy development.

YOUR SKILLS AND EXPERIENCE

You’ll ideally have:

• Experience developing credit scorecards within a credit risk environment
• Strong knowledge of Credit Reference Agency (CRA) data (Equifax, Experian or TransUnion)
• Credit risk experience across model development or strategy
• Strong SQL skills alongside Python or SAS (Python preferred)
• Experience with statistical modelling techniques such as logistic regression or machine learning
• Excellent communication skills with the ability to present to clients and senior stakeholders

THE BENEFITS

• Up to £75,000 salary
• Hybrid working (Monday-Thursday office, Fridays remote)
• Work with a wide range of clients across financial services, telecoms and beyond
• Opportunity to work on varied analytical consultancy projects rather than a single portfolio
• Modern cloud-based technology stack with increasing use of Python
• Strong career progression within a business known for long employee tenure
• Two-stage interview process with a fast turnaround